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multiModalityFusionForClassification
multiModalityFusionForClassification Public多模态数据融合:为了完成多模态数据融合,首先利用VGG16网络和cifar10数据集完成多输入网络的分类,在VGG16的基础之上,将前三层特征提取网络作为不同输入的特征提取网络,在中间层进行特征拼接,后面的卷积层用于提取融合特征,最后加上全连接层。该网络稍作修改就能同时提取两张对应的图片作为输入,在特征提取之后进行融合用于分类。
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mmMOT
mmMOT PublicForked from ZwwWayne/mmMOT
[ICCV2019] Robust Multi-Modality Multi-Object Tracking
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redis
redis PublicForked from redis/redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs,…
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